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Beschreibung
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.
Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers
Details
| Verlag | Springer Berlin |
| Ersterscheinung | 16. Mai 2006 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 347 Gramm |
| Format | Softcover |
| ISBN-13 | 9783540341376 |
| Seiten | 209 |
Schlagwörter
Algorithmen und Datenstrukturen, Algorithms, Artificial Intelligence, Automated Pattern Recognition, Computer Vision, Künstliche Intelligenz, Maschinelles Sehen - Bildverstehen, Mathematik für Informatiker, Mustererkennung, Probability and Statistics in Computer Science, Theoretische Informatik, Theory of Computation, Wahrscheinlichkeitsrechnung und Statistik
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